The Experts below are selected from a list of 3567 Experts worldwide ranked by ideXlab platform

A.n. Venetsanopoulos - One of the best experts on this subject based on the ideXlab platform.

  • Bootstrapping techniques in the estimation of Higher-Order Cumulants from short data records
    1993 IEEE International Conference on Acoustics Speech and Signal Processing, 1993
    Co-Authors: Y Zhang, A.n. Venetsanopoulos
    Abstract:

    The authors propose to apply bootstrap based techniques to investigate and improve the estimates of Higher-Order Cumulants obtained from short data records. Algorithms for the calculation of the standard deviation and the confidence interval of cumulant estimates have been developed. Based on the algorithms, the authors describe a method for the estimation of risk function of various sampled Cumulants, with the goal of choosing the estimator with best risk properties in the bootstrapping sense. Simulation results were obtained and are shown in tables.

  • ICASSP (4) - Bootstrapping techniques in the estimation of Higher-Order Cumulants from short data records
    IEEE International Conference on Acoustics Speech and Signal Processing, 1993
    Co-Authors: Y Zhang, D. Hatzinakos, A.n. Venetsanopoulos
    Abstract:

    The authors propose to apply bootstrap based techniques to investigate and improve the estimates of Higher-Order Cumulants obtained from short data records. Algorithms for the calculation of the standard deviation and the confidence interval of cumulant estimates have been developed. Based on the algorithms, the authors describe a method for the estimation of risk function of various sampled Cumulants, with the goal of choosing the estimator with best risk properties in the bootstrapping sense. Simulation results were obtained and are shown in tables. >

Y Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Bootstrapping techniques in the estimation of Higher-Order Cumulants from short data records
    1993 IEEE International Conference on Acoustics Speech and Signal Processing, 1993
    Co-Authors: Y Zhang, A.n. Venetsanopoulos
    Abstract:

    The authors propose to apply bootstrap based techniques to investigate and improve the estimates of Higher-Order Cumulants obtained from short data records. Algorithms for the calculation of the standard deviation and the confidence interval of cumulant estimates have been developed. Based on the algorithms, the authors describe a method for the estimation of risk function of various sampled Cumulants, with the goal of choosing the estimator with best risk properties in the bootstrapping sense. Simulation results were obtained and are shown in tables.

  • ICASSP (4) - Bootstrapping techniques in the estimation of Higher-Order Cumulants from short data records
    IEEE International Conference on Acoustics Speech and Signal Processing, 1993
    Co-Authors: Y Zhang, D. Hatzinakos, A.n. Venetsanopoulos
    Abstract:

    The authors propose to apply bootstrap based techniques to investigate and improve the estimates of Higher-Order Cumulants obtained from short data records. Algorithms for the calculation of the standard deviation and the confidence interval of cumulant estimates have been developed. Based on the algorithms, the authors describe a method for the estimation of risk function of various sampled Cumulants, with the goal of choosing the estimator with best risk properties in the bootstrapping sense. Simulation results were obtained and are shown in tables. >

S Safi - One of the best experts on this subject based on the ideXlab platform.

  • review article identification of quadratic systems using Higher Order Cumulants and neural networks application to model the delay of video packets transmission
    Applied Soft Computing, 2011
    Co-Authors: Jilali Antari, Abdelouhab Zeroual, Samira Chabaa, R Iqdour, S Safi
    Abstract:

    This work concerns the development of two approaches for the identification of diagonal parameters of quadratic systems from only the output observation. The systems considered are excited by an unobservable independent identically distributed (i.i.d), stationary zero mean, non-Gaussian process and corrupted by an additive Gaussian noise. The proposed approaches exploit Higher Order Cumulants (HOC) (fourth Order Cumulants) and are the extension of the algorithms developed in the linear version 1D, which uses a non-Gaussian signal input. For test and validity purpose, these approaches are compared to recursive least square (RLS), least mean square (LMS) and neural network identification algorithms using non-linear model in noisy environment. To demonstrate the applicability of the theoretical methods on real processes, we applied the developed approaches to search for models able to describe the delay of the video-packets transmission over IP networks from video server. The simulation results show the correctness and the efficiency of the developed approaches.

Jilali Antari - One of the best experts on this subject based on the ideXlab platform.

  • review article identification of quadratic systems using Higher Order Cumulants and neural networks application to model the delay of video packets transmission
    Applied Soft Computing, 2011
    Co-Authors: Jilali Antari, Abdelouhab Zeroual, Samira Chabaa, R Iqdour, S Safi
    Abstract:

    This work concerns the development of two approaches for the identification of diagonal parameters of quadratic systems from only the output observation. The systems considered are excited by an unobservable independent identically distributed (i.i.d), stationary zero mean, non-Gaussian process and corrupted by an additive Gaussian noise. The proposed approaches exploit Higher Order Cumulants (HOC) (fourth Order Cumulants) and are the extension of the algorithms developed in the linear version 1D, which uses a non-Gaussian signal input. For test and validity purpose, these approaches are compared to recursive least square (RLS), least mean square (LMS) and neural network identification algorithms using non-linear model in noisy environment. To demonstrate the applicability of the theoretical methods on real processes, we applied the developed approaches to search for models able to describe the delay of the video-packets transmission over IP networks from video server. The simulation results show the correctness and the efficiency of the developed approaches.

  • Modelling video packet transmission in IP networks using Hammerstein series and Higher Order Cumulants
    AEU - International Journal of Electronics and Communications, 2009
    Co-Authors: Jilali Antari, Abdelouhab Zeroual
    Abstract:

    Abstract The goal of the present contribution is to use the Hammerstein series and Higher Order Cumulants (HOC) techniques for modelling the time series of the video packet transmission in internet protocol (IP) networks. The model obtained is compared with existing linear moving average (MA) model using root mean square error (RMSE) criterion. The obtained results prove that the model based on the Hammerstein series is more precise than the MA model and demonstrate the effectiveness of the nonlinear model, which provides an effective description of network conditions at different times.

M A Sobhani - One of the best experts on this subject based on the ideXlab platform.